GIS enables spatial mapping of climate vulnerability, helping policymakers and researchers visualize hazard zones and plan ...

A wide range of AI models, including traditional machine learning techniques and deep learning frameworks like YOLO, CNNs, ...

Many ecologists are unfamiliar with remote sensing data, especially radar data. Sourcing, pre-processing, and interpreting the data take some expertise and hardware capacity, though cloud ...

Across Europe and around the world, melting glaciers are reshaping landscapes and climate systems. Researchers Elzė ...

Remote sensing technologies, using satellite and aerial data, could revolutionize the management of the oil palm industry, bringing both business and environmental benefits, say environmental experts.

Advancements permitting the rapid extraction of 3D point clouds from stereo imagery covering large portions of the landscape have provided a vast collection of high-fidelity digital surface models of ...

BEIJING -- A group of Chinese researchers have designed a Generalized Data Completion Model (GDCM) applicable to multi-source remote sensing data in aiming to solve the missing measurement caused ...

Scientists know this and have devised several ways to account for the atmosphere’s corrupting influence on remote sensing data. “This problem is as old as overhead imagery,” said James Koch, a data ...